Company Filing History:
Years Active: 2019
Title: Innovations by Jennifer Alexander Sleeman
Introduction
Jennifer Alexander Sleeman is an accomplished inventor based in Glenwood, MD (US). She has made significant contributions to the field of machine learning, particularly in the area of image recognition. Her innovative work has led to the development of a patent that enhances the training of machine learning systems.
Latest Patents
Jennifer holds a patent for "Systems and methods for deep model translation generation." This invention relates to improving the training of machine learning systems to recognize specific objects within images. By supplementing a sparse set of real-world training images with a dense set of realistic training images, her method enhances the effectiveness of object recognition. The dense set of images is created using a convolutional autoencoder and a generative adversarial network (GAN), which translates synthetic images into more realistic training images. This advancement allows machine learning object recognizers to better identify target objects in newly presented digital images.
Career Highlights
Jennifer is currently employed at General Dynamics Mission Systems, Inc., where she continues to innovate in the field of machine learning. Her work has garnered attention for its practical applications and contributions to technology.
Collaborations
Jennifer collaborates with John Patrick Kaufhold, leveraging their combined expertise to push the boundaries of machine learning and image recognition technologies.
Conclusion
Jennifer Alexander Sleeman's innovative work in machine learning and image recognition exemplifies the impact of her inventions on technology. Her contributions continue to shape the future of machine learning applications.